Hi everyone! I am working on Conversational AI Agent that will make a short money management consulting based on your transactions data. I strongly believe in user feedback's and would love to know: What would you ask to your current account if you could talk with it? I have listed 3 options and welcome on comments any feedback.

To build truly capable AI agents, you need tools, a set of APIs that connects to your back-end systems. I’ve finally nailed down a powerful workflow for building AI agents that can seamlessly interact with my back-end systems. The key? Turning your serverless back-end into a toolkit for your agent. Example Use Case: AI Scheduling Agent Imagine an agent that schedules meetings for you. It needs to: 1. Check your Google Calendar. 2. Determine available time slots. 3. Collect participant details. 4. Send invitations. A simple API call won't cut it—this requires orchestrating multiple steps. Here’s the simple yet effective approach: 1️⃣ Build a FastAPI app—create multiple endpoints, each handling a specific task. 2️⃣ Containerize with Docker—Package everything into a docker image. 3️⃣ Deploy on Cloud Run—Use Cloud Build and Artifact Registry to automate deployment of your container. 4️⃣ Integrate with ElevenLabs—Create an AI conversational agent. 5️⃣ Equip the agent with API tools—Guide it to intelligently leverage your back-end. 6️⃣ Profit—Enjoy a fully capable, scalable, and cost-efficient AI agent. Benefit: ✅ Full customization—tailor agents to your exact needs. ✅ Scalable—handle multiple agents efficiently. ✅ Cost-effective—pay for what you use. With this setup, you get custom AI agents that don’t just chat but act, executing complex workflows autonomously. 🚀 Bonus tip: - You can use a python class method to make many agents with similar tools thanks to the API of ElevenLabs 🚀 I will really bet on this in the future and would love some feedback on this.

There are many tutorial on how to make serverless applications, but most of them let you extremely exposed to unauthorized requests. How do you secure your api apps?

I just found out that OpenAI's o3 model climbed to #175 on the Codeforces leaderboard, outperforming 99.9% of human coders in competitive programming! 🤯 As someone new to programming and data science, I’m curious—how can we, as humans, stay ahead in this rapidly evolving AI-driven world? Is it about mastering AI tools, focusing on creativity, or something else entirely?

🚀 Steps to Build a Professional Portfolio with AI in 10 Minutes! 💡 Here’s how you can create an AI-powered portfolio to impress potential employers: Step 1: Create a Conversational Agent on ElevenLabs 👉 Start here Step 2: Upload your CV as the agent's knowledge base - RAG. Step 3: Copy the widget link to share your AI assistant. Step 4: Pick a sleek digital portfolio template on Carrd. 👉 Choose here Step 5: Add a script block in your portfolio and paste the widget link from Step 3. 💼 Now you have a personal AI Assistant that introduces you, highlights your skills, and helps you land jobs like a pro! 👉 Want help setting this up? I am starting technology consulting services and this is a preview test pool. DM me to learn more and wish me luck! 😊